Kazakhstan Identity Card (Udostoverenie) OCR Python SDK
Instantly extract data from Kazakhstani IDs using our native Python library.

Parsing Identity Card (Udostoverenie) Challenges
Kazakhstan Identity Cards (Udostoverenie) present unique challenges. Firstly, the presence of both Cyrillic and Latin script within the same document requires specialized OCR models. Secondly, variations in layout across different card versions and regional authorities can hinder accurate data extraction.
Why StructOCR for Kazakhstan
StructOCR's model is specifically trained on a diverse dataset of Kazakhstani Identity Cards, accounting for variations in layout, script, and print quality. Our Python SDK offers a simple and efficient way to integrate document scanning into your applications, abstracting away the complexities of OCR and data extraction.
Common Use Cases in Kazakhstan
- Digital Onboarding: Verify users for Fintech apps in Kazakhstan.
- Telecom Registration: Automate SIM card registration with Identity Card (Udostoverenie).
- Hotel Check-in: Speed up guest registration workflows.
Python SDK Integration
Install the SDK via pip: `pip install structocr`. Then use the following code.
Prerequisite: Python 3.6+ and `structocr` library installed.
from structocr import StructOCR
# 💰 Save 30%+ vs competitors. Get 200 free requests instantly:
# 👉 https://structocr.com/register
# Initialize with your API Key
client = StructOCR("YOUR_API_KEY_HERE")
def scan_kazakhstan_id():
# Note: Supports JPG, PNG, WebP (Max 4.5MB)
# Target: Identity Card (Udostoverenie)
image_path = "kazakhstan_national_id.jpg"
try:
print(f"Scanning {image_path}...")
# The SDK handles file upload and API communication
# It automatically detects that this is a Kazakhstani document
result = client.scan_national_id(image_path)
# Check success flag (SDK returns a dict matching the JSON response)
if result.get('success'):
data = result['data']
print("✅ Kazakhstan Extraction Successful!")
# Basic Identity
print(f"Region: {data.get('country_code')} (Series: {data.get('card_series')})")
print(f"Name: {data.get('given_names')} {data.get('surname')}")
print(f"ID Number: {data.get('document_number')}")
# Critical Field: Personal Identity Number (CNP/CPF/NIN)
print(f"Personal #: {data.get('personal_number')}")
# Demographics
print(f"DOB: {data.get('date_of_birth')} ({data.get('sex')})")
print(f"Address: {data.get('address')}")
else:
print(f"❌ Extraction Failed: {result.get('error')}")
except Exception as e:
# Handle SDK or Network errors
print(f"An error occurred: {e}")
if __name__ == "__main__":
scan_kazakhstan_id()Technical Specs
- •Latency: < 5s (Average)
- •Uptime: 98.5% SLA
- •Security: AES-256 Encryption & SOC2 Compliant
- •Input: JPG, PNG, WebP (Max 4.5MB)
- •Output: JSON (Structured Data)
Key Features
- •Native Script Support: Reads English and local characters.
- •Blur Detection: Automatically rejects blurry images.
- •Fraud Check: Validates Identity Card (Udostoverenie) number format.
- •Smart Crop: Removes background noise automatically.
JSON Response Example
The SDK returns a Python dictionary matching this JSON structure.
{
"success": true,
"data": {
"type": "national_id",
"country_code": "KAZ",
"nationality": "ҚАЗАҚСТАН / KAZAKHSTAN",
"document_number": "123456789",
"card_series": "",
"personal_number": "900101300456",
"surname": "АЛИЕВ",
"given_names": "НУРСУЛТАН",
"sex": "M",
"date_of_birth": "1990-05-15",
"place_of_birth": "ALMATY",
"address": "мкр. Самал-2, д. 15, кв. 4, Алматы",
"date_of_issue": "2020-01-01",
"date_of_expiry": "2030-01-01",
"issuing_authority": "MINISTRY OF INTERNAL AFFAIRS"
}
}Frequently Asked Questions
Does the Python SDK handle image uploads?
Yes, the SDK automatically handles base64 encoding and file uploads.
Is data stored?
No. Images are processed in-memory and deleted immediately.
How to handle errors?
The SDK result dictionary contains a 'success' boolean and an 'error' message if failed.
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